Principal Researcher - AI-Driven Software Engineering at Fujitsu Research
Stony Stratford, England, United Kingdom
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Shahbaz Khader is a Principal Researcher specializing in AI-driven software engineering with nine years of experience bridging ML research and systems development. He leads research on LLM-augmented code representation, automated software transformation, and legacy modernisation at Fujitsu Research, after postdoctoral work at KTH where he fused deep learning with mathematical optimisation to improve robot safety. His background includes building production robot learning systems and interpretable, data-efficient ML models at ABB, plus early career hands-on embedded and automation software leadership at a robotics startup. Shahbaz holds a PhD in Machine Learning and Robotics and combines academic rigor with a track record of industry collaborations with major tech players and practical engineering optimisations such as CPU-parallel training. Colleagues describe him as equally comfortable designing novel algorithms and integrating diverse software stacks to deliver demonstrable, safety-conscious systems.
9 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science: Machine Learning and Robotics, Doctor of Philosophy (Ph.D.) Computer Science: Machine Learning and Robotics at KTH Royal Institute of Technology
Master's degree Embedded Systems, Master's degree Embedded Systems at Uppsala University
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Shahbaz Khader - Principal Researcher - AI-Driven Software Engineering at Fujitsu Research